Triple

T17894890
Position Surface form Disambiguated ID Type / Status
Subject Vainikkala railway station E447406 entity
Predicate locatedIn P40 FINISHED
Object Vainikkala NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Vainikkala | Statement: [Vainikkala railway station, locatedIn, Vainikkala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vainikkala
Context triple: [Vainikkala railway station, locatedIn, Vainikkala]
  • A. Vainikkala chosen
    Vainikkala is a small Finnish border village and railway station that serves as a key rail crossing point between Finland and Russia on the route between Helsinki and Saint Petersburg.
  • B. Vaajakoski
    Vaajakoski is a district of the city of Jyväskylä in Central Finland, known for its lakeside setting and industrial history.
  • C. Laajalahti
    Laajalahti is a coastal district and nature area in Espoo, Finland, known for its bay, bird wetlands, and conservation sites near the Otaniemi campus area.
  • D. Virolahti
    Virolahti is a coastal municipality in southeastern Finland, located near the Russian border and known for its maritime nature and birdlife.
  • E. Hankasalmi
    Hankasalmi is a rural municipality in Central Finland known for its lakes, forests, and outdoor recreational opportunities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49d7ccf808190b4c1fd477043bcc8 completed April 19, 2026, 9:16 a.m.
Created at: April 10, 2026, 10:19 a.m.